介绍了一种目标分类和识别的方法。
A method for target classification and identification is introduced.
特征提取是目标分类和识别的基础。
Feature extraction builds up the basis of target classification and recognition.
研究了提高目标分类性能的一些方法。
Some means which improve the performance of object classification are discussed.
市场传播将传播消息的战略按照每个消息的目标分类。
Marketing communications breaks down the strategies involved with marketing messages into categories based on the goals of each message.
提出了基于JEM周期特征的目标分类方法。
A method of target classification based on JEM periodic signature is proposed.
目标分类研究主要应用于场景中的行为理解。
Object classification mainly used for activity understanding in scene.
本模型被用于被动声纳目标分类，取得了较好的效果。
Satisfactory results could be obtained by using the model proposed here to classify passive sonar targets.
本论文研究利用多光谱图像进行自然地物目标分类技术。
The aim of this paper is to study classification approach of topographical objects with Multi-spectral image.
课程实施需要与课程目标分类相匹配的学习理论的支撑。
Curriculum implementation requires the learning theories matching to the classification of curriculum goals.
本文重点研究了红外图像目标的特征提取技术和多目标分类方法。
This thesis mainly deals with the feature extraction technologies in infrared image and target multi-classification methods.
特征选择是目标分类的一项重要步骤，直接影响到分类器的设计和性能。
Feature selection is an important process in a target classification program and directly affects the design and performance of the classifier.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
并引入模糊贴近度理论的多目标分类方法，进行卷烟生命周期阶段的判定。
The different phases of tobacco lifecycle are judged by using multi-objective classification method of fuzzy nearness degree.
步态轮廓的有效分割对于特征提取、目标分类等后期处理有非常重要的影响。
The segmentations of gait silhouettes have very important influence on feature extraction and subject classification.
谱分析是雷达信号处理的重要组成部分，对目标分类、特征检测均有重要意义。
Spectrum analysis is the most important branch in radar signal processing and significant of radar target classification and feature detection.
分析了方位区间中基准图像的选取及对准过程对模板生成和目标分类的影响程度。
The selection of the reference image in azimuth interval is discussed, and the influence of the alignment on template training and target classification is discussed too.
特征提取是水声目标分类的关键环节之一，用以获取各类目标的一些可鉴别性特征。
Feature extraction is one of key steps in underwater target classification system, to obtain some discriminatory information of various kinds of underwater targets.
利用该体制雷达对运动目标成像，可用于目标分类、识别等，具有广泛的应用前景。
Employing this radar system for moving object image has abroad applications in many aspects such as classify, recognition of object, and so on.
本文研究了利用小波变换提取水下目标瞬态回波的边缘特征并进行目标分类的可行性。
The feasibilities of using wavelet transform to extract the edges of the echoes and then classify the targets based on the edge features have been studied in this paper.
提出了一种隐层结构自适应学习的径向基函数网络(HSARBF)水声目标分类器。
This paper proposes a hidden layer structure adaptive radial basis function (HSARBF) classifier.
而利用高分辨率雷达回波进行目标识别可以对群目标进行精确的目标分类和型号识别等。
And we can classify and recognize the group targets precisely with high range resolution Radar echo.
方位角联合估计方法有利于增强目标方位角估计的适应性，提高目标分类和识别的效率。
The combined method can improve the adjustability of azimuth estimation, and then can facilitate target classification and recognition effectively.
语文单元目标分类教学的基本策略：系统化的指导思想，以语文教育目标分类理论为依据。
The basic techniques of teaching Chinese with classified aims of each unit include the guiding thought of teaching in a systematic way and the theoretical basis of classifying teaching aims.
人体运动视觉分析一般包含运动检测，运动目标分类，人体跟踪，行为理解与描述四个阶段。
In general, the human motion vision analysis includes the follow four steps: motion detection, moving object classification, people tracking, motion understanding and description.
针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
声信号具有稳定、精确的特点，使用声信号作为目标分类可以使模式识别的领域大大的拓宽。
Acoustic signal is stability and accuracy, so using acoustic signal to classify objects can expand the field of pattern recognition.
声信号具有稳定、精确的特点，使用声信号作为目标分类可以使模式识别的领域大大的拓宽。
Acoustic signal is stability and accuracy, so using acoustic signal to classify objects can expand the field of pattern recognition.
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